Knowledge-work unemployment reaches 18 percent in Anthropic's extreme 2030 scenario
Anthropic published a scenario explorer on 10 September holding three versions of the 2030 US economy. Only one of them would change a staffing plan, and it assumes recursively self-improving systems adopted quickly.
Reality
- Evidence52
- Adoption10
- Hype gap+30
- Incentives78
- Confidence58
Anthropic's middle AI scenario stalls knowledge-worker wages through 2030
Anthropic published three scenarios for AI's effect on the US economy without probabilities. The middle one, where AI does half of knowledge work by 2030 while knowledge-worker pay stalls, is the branch a capex plan can actually use.
Reality
- Evidence40
- Adoption30
- Hype gap+30
- Incentives70
- Confidence45
Anthropic's growth model: how fast workers can switch jobs is a key variable in who benefits from AI
The middle case in Anthropic's new model puts US GDP at $36.3 trillion by 2030 with knowledge-worker pay flat, and what separates flat pay from a 10% cut is how quickly displaced people find other work.
Reality
- Evidence46
- Adoption
- Not scored
- Hype gap+34
- Incentives66
- Confidence52
buildConfirmed2 publishers Anthropic's Economics team has put three 2030 paths for the US economy on the record. Divide the GDP figures by the labour share and the top case pays workers the same total out of an economy a third larger.
Reality
- Evidence46
- Adoption
- Not scored
- Hype gap+28
- Incentives70
- Confidence60
A 91-task benchmark for agent knowledge work runs every task cold, and says so
Artificial Analysis' AA-Briefcase grades deliverables built from four multi-week projects, but each task starts with no memory of the model's own earlier submissions. Continuity stays unmeasured.
Reality
- Evidence60
- Adoption
- Not scored
- Hype gap+12
- Incentives62
- Confidence55